Why do data and AI still fail to deliver meaningful impact, even after decades of innovation?
The complexity of data systems, combined with a widespread lack of integration into business strategy, creates a silent drag on innovation. This book tackles that head-on and explains why most data and AI initiatives fail before they begin, and what to do about it.
Setting out an innovative new mental model - the Enabling Data Model - this groundbreaking book helps businesses rethink how they approach data and argues that 'enabling' data provides the foundations for scaling insight, shifting the focus from consumers to producers. With an accompanying Data Manifesto that equips both technical and non-technical leaders with the tools needed to let go of complexity built over decades, this book offers readers:
- a narrative-driven, real-world exploration of systemic challenges in data and AI
- a new language and model for diagnosing friction and scaling insight
- and concrete tools (diagnostic rubrics, personas, use case templates, platform fit canvas) to translate strategy into traction.
With strategic depth and actionable advice, this essential book will help senior data leaders, CDO's, product leads and analysts, to rethink how data work is structured and start enabling lasting change in their organisation.
Autorentext
David Castro-Gavino is Executive Director and Head of Data Deployment at Axial, AstraZeneca. He is an accomplished executive in data and technology with nearly three decades of global leadership experience across analytics, data science, and machine learning. He is a regular speaker at international events, has been featured in the DataIQ 100, and actively contributes to the global data community through lectures, publications, and practitioner forums. He is based in St. Albans, UK.
Boyan Angelov is Principal Data Strategist at Exxeta, an innovative technology and consultancy company. He has previously published Elements of Data Strategy and Python and R for the Modern Data Scientist (with Rick J. Scavetta). Throughout his career, he has advised organisations of all sizes on data and AI-powered transformation in roles ranging from data strategist to CTO and Principal. He is based in Berlin, Germany.